paulhbenoit

main() {
  # Only enable exit-on-error after the non-critical colorization stuff,
  # which may fail on systems lacking tput or terminfo

  set -e

  if [ ! -n "$ZSH" ]; then
    ZSH=~/.oh-my-zsh
  fi

paulhbenoit

apt-get update
apt-get upgrade -y
apt-get install -y sudo htop vim screen sharutils zsh cifs-utils python-pip curl git

newuser="pimouss"
useradd ${newuser} --create-home
mkdir /home/${newuser}/.ssh
chmod 700 /home/${newuser}/.ssh
cp .ssh/authorized_keys* /home/${newuser}/.ssh/
chown -R ${newuser}.${newuser} /home/${newuser}/.ssh

paulhbenoit

smith@wesson:~$ /usr/bin/time -f "\trendered in %e secs..." python raytracing.py 1
	rendered in 8.36 secs...
smith@wesson:~$ /usr/bin/time -f "\trendered in %e secs..." python raytracing.py 2
	rendered in 10.82 secs...
smith@wesson:~$ /usr/bin/time -f "\trendered in %e secs..." python raytracing.py 3
	rendered in 13.30 secs...
smith@wesson:~$ /usr/bin/time -f "\trendered in %e secs..." python raytracing.py 4
	rendered in 13.40 secs...

paulhbenoit

import sys
import numpy as np
import matplotlib.pyplot as plt

w = 400
h = 300

def normalize(x):
    x /= np.linalg.norm(x)
    return x

paulhbenoit

smith@wesson:~$ python callMC.py 100000
Call price: 39.1021
smith@wesson:~$ python callMC.py 1000000
Call price: 38.8676
smith@wesson:~$ python callMC.py 10000000
Call price: 38.8956

paulhbenoit

smith@wesson:~$ python callMc.py 100000
3.112
smith@wesson:~$ python piMc.py 2 1000000
3.128

paulhbenoit

import sys
from random import gauss
from math import exp, sqrt

S_0   = 863.00    # underlying spot price
sigma =   0.20    # volatility of 20.00%
r     =   0.0118  # risk free rate of 1.18%
T     = 100/365.0 # maturity in 100 days
K     = 860.00    # strike 
paths = int(sys.argv[1])

paulhbenoit

>>> y[0]
0.0
>>>X[0].reshape((28,28))
array([[  0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0],
       [  0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0],
       [  0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0],
       [  0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0],
       [  0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,  51, 159, 253, 159,  50,   0,   0,   0,   0,   0,   0,   0,   0],
       [  0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,  48, 238, 252, 252, 252, 237,   0,   0,   0,   0,   0,   0,   0,   0],
       [  0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,  54, 227, 253, 252,

paulhbenoit

 1> (n_neighbors: 2 , weigths: distance)
 0> (n_neighbors: 2 , weigths: uniform)
 2> (n_neighbors: 3 , weigths: uniform)
 3> (n_neighbors: 3 , weigths: distance)
 0> Training set score: 0.994200
 1> Training set score: 1.000000
 2> Training set score: 0.995274
 3> Training set score: 1.000000
 1> Test set score: 0.999785
 0> Test set score: 0.993986

paulhbenoit

import qarnot
conn =  qarnot.connection.Connection(client_token='<YOUR_API_TOKEN>')
task = conn.create_task('mnist-digitRecognition', 'docker-network', 4)
d = conn.create_disk('disk')
d.add_file('mnist_knn2.py')
task.resources.append(d)
task.constants['DOCKER_REPO'] = 'buildo/docker-python2.7-scikit-learn'
task.constants['DOCKER_CMD'] = 'python mnist_knn2.py ${FRAME_ID}'
task.run()